"A GitHub repository for a RAG documentation scraper" matching MCP servers:

Provides A-share (Chinese stock market) quantitative analysis through tools for stock screening, northbound capital flow tracking, dragon-tiger list analysis, margin trading, sector analysis, technical indicators, IPO info, and limit-up/down statistics using akshare data.

A production-grade MCP server for managing git projects, offering dynamic tool selection and enterprise-grade security.

Enables full-text search and paginated retrieval of indexed documentation (PDFs, Markdown, text) through MCP tools, with filtering by category and file.

Search and retrieve Agent2Agent (A2A) protocol documentation using full-text search and section filtering.

Provides full-text search and retrieval tools for Apache Spark documentation using SQLite FTS5 with BM25 ranking. It enables AI assistants to efficiently search, filter by section, and read specific Spark documentation pages.

Enables searching and reading OCI documentation using the Oracle Help Center Search API. Provides tools for finding relevant documentation URLs and reading page content.

MCP server exposing GitHub tools for issues, pull requests, and code browsing via the GitHub REST API. Designed for local LLM clients with flat arguments and streamable HTTP support.

Enables AI assistants to search and read Azure documentation using full-text search and section filtering, with content retrieval from Microsoft's official Azure docs repository.

A secure MCP server for interacting with GitHub issues, pull requests, repository files, and search, supporting both github.com and GitHub Enterprise Server.

Self-hosted GitHub MCP server for PR, repo file, and Dependabot operations, supporting multiple MCP clients with personal access token auth.

MCP server for the GitHub REST API: issues, PRs, repos; read always on, write env-gated.

A multi-agent Retrieval-Augmented Generation system exposed as an MCP server. Ask a question and a LangGraph pipeline plans the retrieval, pulls evidence from a pgvector knowledge base, optionally augments it with live web research, drafts a cited answer, and then self-critiques it for grounding — revising until the answer is supported by the sources.

Enables AI agents to fetch any web page and receive clean, token-efficient Markdown, escalating only as needed from direct HTTP with browser TLS fingerprints to headless-browser rendering and residential proxies when a site blocks access. Supports question-focused passage retrieval with BM25 ranking, pagination, caching, JS rendering control, and safe-by-default restrictions on local and private-network URLs.

Enables RAG over messy PDFs — extract, chunk, embed, and search scanned, multi-column, and table-heavy documents.

Enables ingestion and semantic search over text documents using PostgreSQL + pgvector and OpenAI-compatible embeddings, allowing any LLM agent to retrieve relevant chunks for grounded answers.

A minimal MCP server that exposes a focused set of GitHub PR review tools to AI agents, enabling PR listing, detail retrieval, comment viewing, and thread management.

Provides an LLM client with self-hosted web scraping capabilities including scraping, crawling, mapping, searching, structured data extraction, browser interaction, and deep research, without reliance on paid proxy or CAPTCHA services.

Enables AI assistants to search, list, and retrieve documentation from the Slice.js official GitHub repository. It provides full-text search capabilities and can deliver individual doc pages or a complete documentation bundle for comprehensive LLM context.

"primitive" RAG-like web search model context protocol server that runs locally. ✨ no APIs ✨

Enables scraping of emails, phone numbers, and social profile links from website domains. Supports batch processing of up to 20 domains and can find company websites by keyword/company name.